NEWS PHYSICS: Why This Rubric?
Haberin Fizigi — Vaka Analizi Puanlama Cetveli
v1.0 · 2026 · Levent Bulut
Physics of Reality Ecosystem
DOI: https://doi.org/10.5281/zenodo.19545072
DOI: https://doi.org/10.5281/zenodo.19979480
Why This Rubric?
News Physics operates through three core operators: News Pressure (Np), Institutional Resistance (Ir), and Information Entropy (Hs). These operators provide a theoretical framework. But when analysing a journalistic case — especially in comparative work — a more granular measurement tool is needed.
The Case Analysis Scoring Rubric meets that need. Four metrics decompose the components of Np and Ir, positioning each case on a five-point scale.
This rubric is the bridge that transforms News Physics from theoretical model to operational tool.
Four Metrics: Overview
|
Metric |
Correspondence
in News Physics |
|
System Fit
(SF) |
Equilibrium
analysis of Np and Ir — how well does the story fit the system? |
|
Actor Power
(AP) |
The actor
dimension of Ss — who is the story's subject? |
|
Tension (T) |
Normalised
value of the Np − Ir difference — how far does pressure exceed resistance? |
|
Diffusion (D) |
Entropy
velocity and the Ie component — how widely and quickly does the story spread? |
Each metric is scored 1 to 5. Scores are independent of each other.
Metric 1: System Fit (SF)
What Does It Measure?
System Fit measures the structural compatibility of a story with the current publishing environment — agenda, channel, period, and social climate.
SF = (Ss x Tu) / Environmental Resistance
Scoring Rubric
|
Score |
Label |
Definition |
Example |
|
1 |
System Misfit |
No overlap
with the current system. Even if published, it disappears. |
A technical
environmental report published during an election campaign. |
|
2 |
Weak Fit |
Partial
overlap but a fundamental incompatibility. |
An important
economic story on an entertainment-dominated platform. |
|
3 |
Moderate Fit |
The story
enters the system but leaves no lasting mark. |
A political
scandal in a standard channel during a normal news cycle. |
|
4 |
High Fit |
The story
slots into a gap the system was waiting for. |
A public
tender scandal during parliamentary budget hearings. |
|
5 |
Perfect Fit |
Agenda,
channel, timing, and actors align perfectly. |
A documented
election fraud claim published on election night. |
Notes
System Fit measures contextual alignment, not story quality. A perfect investigative piece may score SF:1 due to poor timing.
Metric 2: Actor Power (AP)
What Does It Measure?
The social impact capacity of the story's central subject — individual, institutional, or state actor. Determined by actual sphere of influence, not formal title.
Ss = AP x Issue Weight x Social Contact
Actor Categories
|
Actor Type |
Typical AP
Range |
|
Individual
citizen, local figure |
1 — 2 |
|
Local
official, company manager, mid-level bureaucrat |
2 — 3 |
|
National-level
politician, major company CEO, media owner |
3 — 4 |
|
Cabinet
minister, party leader, major conglomerate owner |
4 — 5 |
|
International
institution, multinational structure, global reach |
5 |
Scoring Rubric
|
Score |
Label |
Definition |
Example |
|
1 |
Micro Actor |
Individual or
local level. Narrow sphere of influence, no leverage effect. |
Irregularities
by a neighbourhood official. |
|
2 |
Local Actor |
Regional or
sectoral level. Impact limited to a specific geography. |
A municipal
mayor's tender scandal. |
|
3 |
National
Actor |
Nationally
recognised; decisions affect a broad audience. |
A deputy
minister's company. A major holding's CEO. |
|
4 |
Strong State
/ Market Actor |
At the centre
of decision-making mechanisms. A single move affects entire systems. |
A minister's
family-linked tender. A major bank's board of directors. |
|
5 |
Systemic
Actor |
International
institution or structure with global reach. Decisions affect multiple
national systems simultaneously. |
Documented
financial irregularities in a global health organisation's fund management —
directly affecting national health policies and international aid flows
across dozens of countries. |
Notes
AP is determined by real impact capacity, not formal title. A technically mid-level figure operating at a critical system node may score AP:4.
Metric 3: Tension (T)
What Does It Measure?
The normalised measure of conflict between News Pressure (Np) and Institutional Resistance (Ir). Measures physical struggle, not ethical value.
T = f(Np, Ir) -> normalised Np/Ir ratio
Scoring Rubric
|
Score |
Label |
Definition |
Example |
|
1 |
No Tension |
Almost no
conflict between Np and Ir. |
Official
press release. Content readily accepted in state-controlled media. |
|
2 |
Low Tension |
Partial
conflict but balance has clearly shifted. |
A competitive
but politically risk-free economic story. |
|
3 |
Moderate
Tension |
Np and Ir
genuinely facing each other. Editorial decision is critical. |
A politically
sensitive but documented claim. |
|
4 |
High Tension |
Np is strong,
Ir resisting. Story runs but at a cost. |
Story
concerning the outlet's major advertiser. Published under legal threat. |
|
5 |
Maximum
Tension |
Np at
ceiling, Ir approaching infinity. Censorship or press freedom breaking point. |
WikiLeaks-type
leak. A story that led to a journalist's arrest or exile. |
Notes
A maximum-tension story may be true or false. The rubric does not make moral judgments — it measures dynamics.
Metric 4: Diffusion (D)
What Does It Measure?
How widely and how quickly a story reaches across the system after publication. Measures actual spread — not potential.
D = dNp/dt -> time derivative of Np
Diffusion Channels
|
Channel |
Diffusion
Effect |
|
Single
national outlet / website |
Limited —
D:1-2 |
|
Multiple
national media |
Moderate —
D:2-3 |
|
Social media
amplification |
High — D:3-4 |
|
International
media pick-up |
Very high —
D:4-5 |
|
Viral +
international + official response |
Maximum — D:5 |
Scoring Rubric
|
Score |
Label |
Definition |
Example |
|
1 |
Local Diffusion |
Story stayed
on the platform where published. Entropy was fast. |
A regional
irregularity remaining in a local newspaper. |
|
2 |
Moderate
Diffusion |
A few
channels picked it up. A short momentum exists. |
A political
statement in small items in national newspapers. |
|
3 |
Wide
Diffusion |
Multiple
national channels. Agenda stayed open for days. |
A minister
scandal remaining in agenda for several days. |
|
4 |
Viral
Diffusion |
Went viral
and / or picked up by international media. |
WikiLeaks,
Pandora Papers-type — international pick-up, days of dominance. |
|
5 |
Systemic
Diffusion |
Story
transformed the system. Investigation, resignation, legislation triggered. |
Watergate.
Panama Papers. An investigation that led to a government's fall. |
Notes
A high-Np story may score D:1 due to wrong channel or poor timing. In this case the Entropy Law has taken effect.
Integrated Case Analysis Protocol
When the four metrics are used together it becomes possible to produce the complete physical profile of a news case.
Step 1: Calculate Np and Ir
First calculate the base operators: Np = Ss x Tu x Ie and Ir = Pp x Ed / Ec.
Step 2: Score the Four Metrics
Score each metric independently on a 1-5 scale using the rubric criteria above.
Step 3: Interpret the Profile
|
Profile Type |
Interpretation |
|
SF:5 AP:5 T:1
D:5 |
Powerful
actor within the system, published with low resistance, large impact. Ideal
condition. |
|
SF:4 AP:4 T:5
D:2 |
Strong story,
published under high pressure but low diffusion. Channel problem. |
|
SF:3 AP:3 T:2
D:3 |
Balanced,
'normal' news case. System is functioning. |
|
SF:1 AP:5 T:5
D:1 |
Powerful
actor, maximum tension but system completely suppressed. Censorship case. |
|
SF:2 AP:1 T:1
D:4 |
Weak actor,
low tension but went viral. Suspected fake Np injection. |
Example Case: The Minister's Company
A fictional but realistic case: A ministry has awarded tenders 12 times over 3 years to a construction firm in which the minister's spouse is a partner. Documents exist. The source is a former director within the ministry. The story arrives at a pro-government newspaper.
|
Metric |
Score +
Rationale |
|
System Fit
(SF) |
4 —
Parliamentary budget hearings are this week. Agenda alignment is perfect. |
|
Actor Power
(AP) |
4 — Minister-level
actor. Public tender + family connection. |
|
Tension (T) |
4 — Np is
strong (648), Ir is high. Editorial pressure is certain. |
|
Diffusion (D) |
3 — If
published, it will appear in national media. Potential D:5 but realisation
risk present. |
This profile says: the story is physically ready to publish (SF:4, AP:4), is in serious conflict (T:4), and its potential diffusion is strong (D:3→5). If it is not published, Ec has been zeroed out and Ir has become infinite. That is the mathematical proof of censorship.
News Physics — Case Analysis Scoring Rubric v1.0
Levent Bulut · 2026 · Physics of Reality Ecosystem
DOI: https://doi.org/10.5281/zenodo.19545072